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. This position is within the Computer Architecture Research Group (https://www.cst.cam.ac.uk/research/themes/computer-architecture ) at the University of Cambridge Department of Computer Science and Technology, a
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new project with the aim to transform the design of engineering components from one based on selecting a best single material to one in which material properties and compositions are treated as
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electrodes as part of an ERC Consolidator Grant. The post holder will be located at the University of Cambridge in the group of Prof. Michael De Volder (www.nanomanufacturing.eng.cam.ac.uk/ ). The successful
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Quantum Photonics group, based in the Nanoscience Centre at the University of Cambridge, a newly founded research group that works on simulation, nanofabrication and optical characterisation of nano- and
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valve replacement is used to treat affected patients ¿ this involves replacing the diseased valve with a prosthetic valve made from synthetic materials (e.g. mechanical valve) or animal tissue (e.g
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material would be advantageous. The successful candidate will use a range of next-generation sequencing techniques including ribosome profiling as well as molecular biology techniques such as in vitro
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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of product distribution within a working reactor environment. We now want to extend these studies to explore how catalyst behaviour changes as the structure and chemistry of the catalyst is changed. The aim is
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researchers as part of a new EPSRC-funded CDT in Materials 4.0, led by the Henry Royce Institute, the UK’s national institute for advanced materials research. You will be based at Cambridge University and
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a new project with the aim to transform the design of engineering components from one based on selecting a best single material to one in which material properties and compositions are treated as